Handbook of Big Data Analytics

✍ Scribed by Wolfgang Karl Härdle; Henry Horng Lu; Xiaotong Shen; Shen Xiaotong

Publisher: Springer
Year: 2017
Tongue: English
Leaves: 532
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This essential guide to a broad spectrum of big data analytics in cross-disciplinary applications focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discovery from big data. The primary audience will be statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.

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